About OMICS Group OMICS Group International is an amalgamation of Open Access publications and worldwide international science conferences and events.

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Presentation on theme: "About OMICS Group OMICS Group International is an amalgamation of Open Access publications and worldwide international science conferences and events."— Presentation transcript:

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About OMICS Group OMICS Group International is an amalgamation of Open Access publications and worldwide international science conferences and events. Established in the year 2007 with the sole aim of making the information on Sciences and technology ‘Open Access’, OMICS Group publishes 400 online open access scholarly journals in all aspects of Science, Engineering, Management and Technology journals. OMICS Group has been instrumental in taking the knowledge on Science & technology to the doorsteps of ordinary men and women. Research Scholars, Students, Libraries, Educational Institutions, Research centers and the industry are main stakeholders that benefitted greatly from this knowledge dissemination. OMICS Group also organizes 300 International conferences annually across the globe, where knowledge transfer takes place through debates, round table discussions, poster presentations, workshops, symposia and exhibitions.Open Access publicationsscholarly journalsInternational conferences

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About OMICS Group Conferences OMICS Group International is a pioneer and leading science event organizer, which publishes around 400 open access journals and conducts over 300 Medical, Clinical, Engineering, Life Sciences, Pharma scientific conferences all over the globe annually with the support of more than 1000 scientific associations and 30,000 editorial board members and 3.5 million followers to its credit. OMICS Group has organized 500 conferences, workshops and national symposiums across the major cities including San Francisco, Las Vegas, San Antonio, Omaha, Orlando, Raleigh, Santa Clara, Chicago, Philadelphia, Baltimore, United Kingdom, Valencia, Dubai, Beijing, Hyderabad, Bengaluru and Mumbai.

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1. Ignorance towards the type of analysis at the planning stage of the study. Scale of measurement of data Continuous scale (Interval or ratio) imparts high power and also smaller sample size. Selection of statistical tests Parametric tests – most powerful and robust. Influences sample size calculation. Generalizability One must decide upon the statistical approach to analyzing the data even before the data collection and sample size determination. 4/23/2015 Statistical considerations of bio- medical research 4

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2. Failure to determine the sample size scientifically. ‘Larger the sample size the better the study’ is not always true. 4/23/2015 Statistical considerations of bio- medical research 5

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3. Selective or self-selection of samples. Selective or self -selection of samples. Careless sampling is much more of a problem than an inappropriate analysis. 4/23/2015 Statistical considerations of bio- medical research 6

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7. Concealment of neutral and negative results. Neutral and Negative results. Manipulation of the study findings – unethical. Wastage of resources in replicating the same findings. Likely to face rejection by the editors or reviewers- Publication bias. Failing to report the findings -“File -drawer effect” Use of medical Rx that is ineffective, unpleasant, costly or even dangerous. 4/23/201512 Major threat to the validity of systematic reviews and meta- analyses. it may be equally outraged by silence. Truth is not only violated by falsehood; Henri Frederic Amiel, 1821-1881. Statistical considerations of bio- medical research

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Recommendations for improving the quality of statistical aspects of bio-medical research. 4/23/2015 Statistical considerations of bio- medical research 14

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Conclusion………. 4/23/2015 Statistical considerations of bio- medical research 15 No research is perfect in itself. Focus should be on curtailing the statistical inadequacies in any research to the best possible level within practical limits. Besides, Nothing can be a substitute for the knowledgeable interpretation of data. Hence using computing power should go hand in hand; not replace statistical reasoning.